Energy Systems Research https://esrj.ru/index.php/esr <p><em>Energy Systems Research</em> is an international peer-reviewed journal addressing all the aspects of energy systems, including their sustainable development and effective use, smart and reliable operation, control and management, integration and interaction in a complex physical, technical, economic and social environment.</p> <p>Energy systems research methodology is based on a systems approach considering energy objects as systems with complicated structure and external ties, and includes the methods and technologies of systems analysis.</p> <p>Within this broad multi-disciplinary scope, topics of particular interest include strategic energy systems development at the international, regional, national and local levels; energy supply reliability and security; energy markets, regulations and policy; technological innovations with their impacts and future-oriented transformations of energy systems.</p> <p>The journal welcomes papers on advances in heat and electric power industries, energy efficiency and energy saving, renewable energy and clean fossil fuel generation, and other energy technologies.</p> <p><em>Energy Systems Research</em> is also concerned with energy systems challenges related to the applications of information and communication technologies, including intelligent control and cyber security, modern approaches of systems analysis, modeling, forecasting, numerical computations and optimization.</p> <p>The journal is published by <a title="Melentiev Energy Systems Institute of Siberian Branch of Russian Academy of Sciences" href="http://isem.irk.ru/en/" target="_blank" rel="noopener">Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences</a>.</p> <p>The journal's ISSN is 2618-9992. There are 4 issues per year (special issues are available) in English.</p> <p>All articles are available online as Open access articles.</p> <p>From December 19, 2023, the journal is included in the list of peer-reviewed scientific publications (VAK) in which the main scientific results of dissertations should be published in scientific specialties:</p> <p>1.2.2. Mathematical modeling, numerical methods and software packages (technical sciences),<br />2.4.3. Electrical power engineering (technical sciences),<br />2.4.5. Energy systems and complexes (technical sciences).</p> <p>Indexed by: RSCI, CyberLeninka, Google Scholar, Crossref.</p> <p>The journal is registered with Roskomnadzor. Certificate Эл № ФС77-84526 January 16, 2023</p> en-US info@esrj.ru (Alexey Mikheev) info@esrj.ru (Alexey Mikheev) Tue, 30 Apr 2024 00:00:00 +0300 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 Dissociation of Gas Hydrates in the Combustion Environment https://esrj.ru/index.php/esr/article/view/2024-01-0001 <p>This paper proposes mathematical models of gas hydrate decomposition in high-temperature media. These models are based on heat and mass balances with a set of assumptions about transfer mechanisms and features of chemical reactions. The calculations provide an insight into dynamics of hydrate particles in a flame environment and shed light on possible results of interaction between the combustion front and emission of gas and vapor. Several examples are provided to illustrate the potential of hydrates as a fuel and as a flame extinguishing material. The developed models enable the generation of numerical estimates, which can be employed to design technologies for beneficial uses of gas hydrates.</p> Igor Donskoy (Author) Copyright (c) 2024 Energy Systems Research http://creativecommons.org/licenses/by-nc/4.0 https://esrj.ru/index.php/esr/article/view/2024-01-0001 Tue, 30 Apr 2024 00:00:00 +0300 Applicability of Anomaly Detection Knowledge from Computer Science and Mathematics Publications to Oil and Gas Research https://esrj.ru/index.php/esr/article/view/2024-01-0002 <p>Anomaly detection in equipment processes is crucial for the oil and gas sector. Algorithms for detecting anomalies in measured data are best understood in Computer Science and Mathematics. Therefore, a possible transfer of knowledge from the latter area to the former can have a profound impact. This paper explores the potential for the knowledge transfer by analyzing bibliometric data of Computer Science and Mathematics papers published in MDPI journals, as well as publications available on SPE search platform. The research shows that the main algorithms extensively studied in MDPI publications and found in SPE publications, which address the anomaly detection problem, include Random Forest, Support Vector Machine, Long-term Memory Method and Recurrent Neural Network. The main advantages and disadvantages of these methods are briefly described. This paper provides examples of classical and highly cited publications that describe the work of these algorithms along with examples of articles that illustrate their application in the oil and gas industry. The sections of SPE disciplines with the largest number of publications using the algorithms that are frequently used for anomaly detection are presented.</p> B.N. Chigarev (Author) Copyright (c) 2024 Energy Systems Research http://creativecommons.org/licenses/by-nc/4.0 https://esrj.ru/index.php/esr/article/view/2024-01-0002 Tue, 30 Apr 2024 00:00:00 +0300 Additional Power Losses Under Non-Sinusoidal Conditions in a 22 kV Overhead Power Line https://esrj.ru/index.php/esr/article/view/2024-01-0003 <p>Non-sinusoidal conditions in the electrical networks cause active power losses at the fundamental frequency, corresponding to the first harmonic, and at harmonic frequencies, which are a multiple of the fundamental frequency. Non-sinusoidal currents flow through network components and create additional active power losses. One of the non-sinusoidal current sources is electronic equipment used in industrial plants to control process equipment. In Vietnam, coal mines use frequency-controlled induction motors when processing coal. The induction motors consume non-sinusoidal current, which creates additional active power losses in the supply network. The harmonic active power does not perform useful work. It causes economic damage to both the supply network and industrial enterprises. The power supply systems in industrial areas of Vietnam, where coal is mined, are characterized by low power quality. Companies engaged in coal mining and processing are forced to pay for additional losses of active power due to the low power quality under non-sinusoidal conditions, which reduces the economic efficiency of the companies' operations.</p> <p>The paper presents a review of the literature on the assessment of additional active power losses in overhead power lines at harmonic frequencies. An example of calculating additional losses of harmonic active power is given for a 22 kV overhead power line, through which electrical energy is supplied to the coal grading plant of the Kua Ong-Vinacomin company. Additional losses are calculated using the measurements of harmonic voltage and current at the point of the supply network connection to the 22 kV overhead power line, through which electrical energy is supplied to the coal mine and the coal grading plant. To assess the influence of the electrical equipment of the coal grading plant on the power quality in the supply network, measurements were carried out on 0.4 kV buses of electrical substation of the coal mine.</p> L.I. Kovernikova, Bui Ngoc Hung (Author) Copyright (c) 2024 Energy Systems Research http://creativecommons.org/licenses/by-nc/4.0 https://esrj.ru/index.php/esr/article/view/2024-01-0003 Tue, 30 Apr 2024 00:00:00 +0300 Coal Industry Global Transformations: Analysis and Projections https://esrj.ru/index.php/esr/article/view/2024-01-0004 <p>The paper explores the current global trends in coal production, exports, imports, and consumption with focus on China, India, and Russia up to the year 2050. Russia’s coal production in 2022 is shown to rise to 443.6 million tons due to an increase in domestic coal consumption, which made it possible to compensate for a slight decrease in coal exports. At the same time, the growth in domestic coal consumption was 6.1% compared to the level of 2021. Of this, 23% was utilized by the electric power industry, 10.4% for coking, 6.9% for residential, industrial and agricultural consumers, and the remaining 6.8% of coal supplies were delivered to other consumers within the domestic market. In 2023–2024, Russia may see a slight decrease in coal production and export volumes, which is associated with sanctions, a decline in demand of European consumers, and a reduction in the use of this type of fuel or refusal from it in some Asian countries. The possibility of reorienting Russian coal supplies from West to East is limited by the plans of the Asia-Pacific countries along with commissioning new coal capacities in the near future to actively develop wind farms and solar power plants and adopt national hydrogen strategies. These factors, in turn, may lead to a decrease in Russian coal production and exports by 2050. However, it is too early to talk about the end of the “era of coal,” at least until 2030.</p> L.S. Plakitkina (Author) Copyright (c) 2024 Energy Systems Research http://creativecommons.org/licenses/by-nc/4.0 https://esrj.ru/index.php/esr/article/view/2024-01-0004 Tue, 30 Apr 2024 00:00:00 +0300 Competitiveness of Export-Oriented Systems of Long-Range Energy Supply https://esrj.ru/index.php/esr/article/view/2024-01-0005 <p>The paper examines process chains including production, transport, and conversion of energy resources from Siberia and the Russian Far East to Asian countries. The study aims to find the most effective ways to supply energy to end consumers at various distances. The options considered include pipeline transport of natural gas from eastern regions of Russia to Asian countries; rail transport of coal from Russian export-oriented deposits to Asian countries; natural gas conversion into methanol, with methanol transport through pipelines of various diameters to Asian countries; and coal conversion into methanol, with methanol transport through pipelines of various diameters to Asian countries. Optimization is performed using previously developed mathematical models.</p> E.A. Tyurina, A.S. Mednikov, P.Yu. Elsukov, S.N. Sushko (Author) Copyright (c) 2024 Energy Systems Research http://creativecommons.org/licenses/by-nc/4.0 https://esrj.ru/index.php/esr/article/view/2024-01-0005 Tue, 30 Apr 2024 00:00:00 +0300 Active Filters for Standard-Compliant Power Quality in Electrical Networks https://esrj.ru/index.php/esr/article/view/2024-01-0006 <p>The article is devoted to the analysis of three circuits of modular multilevel converters (MMCS) with cascade connection of single-phase bridge and half-bridge voltage converters, each of which operates in pulse width modulation (PWM) mode. The main feature of active filters based on MMS is the possibility of selective high-speed harmonic filtering in on–line mode: AF allows the suppression of any given set of harmonics, including the negative harmonic of the fundamental frequency (reverse sequence), with a given degree of suppression - to zero or a normalized value - by an appropriate task in the control program. For the practical implementation of MMS in solving problems of normalization of electricity quality indicators, the so-called DSB control algorithm of MMS was developed, based on the traditional "classical" theory of automatic control and the theory of three-phase circuits. A comparative assessment of the use of various MMC schemes for symmetry and reactive power compensation has been carried out. It is shown that the problem of voltage symmetry using MMS is a special one, requiring the use of special algorithms to solve it, ensuring the reactive nature of branches of MMS circuits.</p> S.I. Gusev, G.M. Mustafa (Author) Copyright (c) 2024 Energy Systems Research http://creativecommons.org/licenses/by-nc/4.0 https://esrj.ru/index.php/esr/article/view/2024-01-0006 Tue, 30 Apr 2024 00:00:00 +0300